Paquet, Ulrich

13 publications

NeurIPSW 2024 Correlating Variational Autoencoders Natively for Multi-View Imputation Ella S C Orme, Marina Evangelou, Ulrich Paquet

AAAI 2022 Role of Human-AI Interaction in Selective Prediction Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham

NeurIPS 2018 Recurrent Relational Networks Rasmus Palm, Ulrich Paquet, Ole Winther

NeurIPS 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther

AAAI 2017 Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein

AAAI 2017 Low-Rank Factorization of Determinantal Point Processes Mike Gartrell, Ulrich Paquet, Noam Koenigstein

AAAI 2016 Collective Noise Contrastive Estimation for Policy Transfer Learning Weinan Zhang, Ulrich Paquet, Katja Hofmann

AAAI 2016 Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search Marco Fraccaro, Ulrich Paquet, Ole Winther

NeurIPS 2016 Sequential Neural Models with Stochastic Layers Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther

JMLR 2013 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models Manfred Opper, Ulrich Paquet, Ole Winther

CVPR 2009 Convexity and Bayesian Constrained Local Models Ulrich Paquet

JMLR 2009 Perturbation Corrections in Approximate Inference: Mixture Modelling Applications Ulrich Paquet, Ole Winther, Manfred Opper

NeurIPS 2008 Improving on Expectation Propagation Manfred Opper, Ulrich Paquet, Ole Winther